Looking for Insights on New AI Features in ThingWorx 10
Hi Community,
We recently upgraded our platform to ThingWorx 10, which includes new AI capabilities, and I’m looking to better understand how these features can be utilized in real industrial applications.
For additional context, we are using ThingWorx 10 together with SCPA 164, so I’m also curious about how these AI features align with or enhance SCPA-based solutions.
Specifically, I’m interested in learning:
How the new AI/ML features in ThingWorx 10 can help improve or optimize existing applications
What use cases these AI features are intended for, and where they provide the most value
How other developers are integrating or embedding AI into mashups, workflows, or analytics
Best practices, architecture guidance, or known limitations when using AI features in ThingWorx 10
Whether any extra configuration or supporting components are required, especially when working with SCPA 164
If anyone has hands-on experience with the AI features in ThingWorx 10 or has already implemented them in production environments, I would really appreciate your insights, examples, or recommendations.
Thanks in advance!

